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DBMS > Hypertable vs. IBM Db2 Event Store vs. Quasardb vs. Splunk

System Properties Comparison Hypertable vs. IBM Db2 Event Store vs. Quasardb vs. Splunk

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonQuasardb  Xexclude from comparisonSplunk  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesDistributed, high-performance timeseries databaseAnalytics Platform for Big Data
Primary database modelWide column storeEvent Store
Time Series DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.ibm.com/­products/­db2-event-storequasar.aiwww.splunk.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunk
DeveloperHypertable Inc.IBMquasardbSplunk Inc.
Initial release2009201720092003
Current release0.9.8.11, March 20162.03.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansnoyes infowith tagsyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIHTTP REST
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelActive-active shard replicationSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
HypertableIBM Db2 Event StoreQuasardbSplunk
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